Datawizz.AI

Company Overview

Snapshot

Founded in November 2019 by Iddo Gino, Avi Weiss, and Sigal Shaked, Datawizz.AI operates with 1–10 employees. The company has raised $12.5 million across two funding rounds from five investors.

Business overview

Datawizz.AI provides a platform designed to help organizations manage and optimize their use of large language models (LLMs). The company's core technology acts as an intelligent layer between AI applications and various model providers, aiming to give teams enhanced control over cost, performance, and data. Datawizz.AI collects and organizes AI interaction data, routes requests to appropriate models, and facilitates the creation of specialized models trained on an organization’s proprietary data. This enables businesses to operate AI systems more efficiently, securely, and with greater ownership of their models and insights within the Business Software sector, serving enterprise and professional services.

Strategic signal

In September 2025, Datawizz.AI raised $12.5 million from HUMAN CAPITAL and 91 Ventures to develop Specialized Language Models (SLMs). This significant funding round underscores investor confidence in the company's approach to improving AI accuracy and reducing operational costs, positioning Datawizz.AI as a key player in the evolving AI landscape and signaling its intent to challenge established industry giants.

Company Intelligence Q&A

What is Datawizz.AI's primary focus?

Datawizz.AI focuses on advancing data management through synthetic data solutions, specifically by providing a platform that helps organizations manage and optimize their use of large language models (LLMs).

When was Datawizz.AI founded and by whom?

Datawizz.AI was founded in November 2019 by Iddo Gino, Avi Weiss, and Sigal Shaked.

What was the total capital raised by Datawizz.AI?

Datawizz.AI has raised a total of $12.5 million across two funding rounds.

What is the strategic goal behind Datawizz.AI's recent funding?

The funding secured in September 2025 aims to improve the accuracy and reduce the costs associated with using AI, particularly through the development of Specialized Language Models (SLMs).